Korman, Birgit (2023): Phytoplankton composition, classification and biomass from Lake Geiseltal (Germany) during the Inland Water Remote Sensing Validation Campaign 2017 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.895378, In: Dörnhöfer, Katja; Bumberger, Jan; Friese, Kurt; Fritz, Christine; Herzog, Michael; Hieronymi, Martin; Klinger, Philip; Korman, Birgit; Moll, Vincent; Rahn, Karsten; Remmler, Paul; Rinke, Karsten; Schneider, Thomas; Schultze, Martin; Röttgers, Rüdiger (2023): Results of lake water analysis from Lake Geiseltal in Saxony-Anhalt during the Inland Water Remote Sensing Validation Campaign 2017 [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.894746
Always quote citation above when using data! You can download the citation in several formats below.
Related to:
Korman, Birgit (2023): Phytoplankton composition, classification and biomass from Kelbra Reservoir (Germany) during the Inland Water Remote Sensing Validation Campaign 2017. PANGAEA, https://doi.org/10.1594/PANGAEA.895379
Korman, Birgit (2023): Phytoplankton composition, classification and biomass from Lake Arendsee (Germany) during the Inland Water Remote Sensing Validation Campaign 2017. PANGAEA, https://doi.org/10.1594/PANGAEA.895377
Korman, Birgit (2023): Phytoplankton composition, classification and biomass from Lake Süßer See (Germany) during the Inland Water Remote Sensing Validation Campaign 2017. PANGAEA, https://doi.org/10.1594/PANGAEA.895382
Korman, Birgit (2023): Phytoplankton composition, classification and biomass from the Rappbode Reservoir (Germany) during the Inland Water Remote Sensing Validation Campaign 2017. PANGAEA, https://doi.org/10.1594/PANGAEA.895380
Coverage:
Latitude: 51.309610 * Longitude: 11.831830
Date/Time Start: 2017-08-28T00:00:00 * Date/Time End: 2017-08-30T00:00:00
Minimum DEPTH, water: 4 m * Maximum DEPTH, water: 4 m
Event(s):
Geiseltalsee-S0858_PHYTO * Latitude: 51.309610 * Longitude: 11.831830 * Date/Time: 2017-08-28T00:00:00 * Location: Germany, Saxony-Anhalt * Campaign: IWRSVC-2017 (Inland Water Remote Sensing Validation Campaign 2017) * Method/Device: Phytoplankton net (PHYTONET) * Comment: Water sample from 0m-8m depth
Geiseltalsee-S0859_PHYTO * Latitude: 51.309610 * Longitude: 11.831830 * Date/Time: 2017-08-30T00:00:00 * Location: Germany, Saxony-Anhalt * Campaign: IWRSVC-2017 (Inland Water Remote Sensing Validation Campaign 2017) * Method/Device: Phytoplankton net (PHYTONET) * Comment: Water sample from 0m-8.0m depth
Comment:
Evaluation of the water samples to determine the phytoplankton. Analysis according to Utermöhl (Utermöhl-Verfahren" -DIN EN 15204), microscopic counting at species level according to EU WFD. Taxon names according to Taxa List from Bavarian State Office for Water Management (www.gewaesser-bewertung.de/files/taxaliste.pdf).
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Event label | Event | Korman, Birgit | |||
| 2 | Principal investigator | PI | Korman, Birgit | |||
| 3 | Time Stamp | Time Stamp | Korman, Birgit | probe number | ||
| 4 | DATE/TIME | Date/Time | Korman, Birgit | Geocode | ||
| 5 | Area/locality | Area | Korman, Birgit | |||
| 6 | Comment | Comment | Korman, Birgit | measuring point | ||
| 7 | Depth, top/min | Depth top | m | Korman, Birgit | ||
| 8 | Depth, bottom/max | Depth bot | m | Korman, Birgit | ||
| 9 | DEPTH, water | Depth water | m | Korman, Birgit | Geocode | |
| 10 | Identification | ID | Korman, Birgit | Quantitative phytoplankton method (Utermöhl, 1958) | DV-Nr. | |
| 11 | Identification | ID | Korman, Birgit | Quantitative phytoplankton method (Utermöhl, 1958) | ID (HTML) | |
| 12 | Class | Class | Korman, Birgit | Quantitative phytoplankton method (Utermöhl, 1958) | ||
| 13 | Taxon/taxa | Taxa | Korman, Birgit | Quantitative phytoplankton method (Utermöhl, 1958) | ||
| 14 | Cell | Cell | #/ml | Korman, Birgit | Quantitative phytoplankton method (Utermöhl, 1958) | |
| 15 | Biovolume | Biovol | mm3/l | Korman, Birgit | Quantitative phytoplankton method (Utermöhl, 1958) |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
588 data points